Smart Home Scene Deployment Across Nodes to Prevent Host Overload
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Solution Overview
Problem
The deployment of a large quantity of scenes on a host in a smart home network leads to performance bottlenecks, slower responses, and potential system crashes due to excessive load.
Innovation Solution
A smart home scene deployment method that distributes scene segments across multiple nodes in the network based on architecture and historical load information, balancing load and improving execution performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large quantity of scenes are deployed on the host, then scene control functionality is enhanced, but host load increases causing performance bottlenecks and system crashes
Solution Approach 1:
The patent segments the monolithic scene deployment architecture into a distributed multi-node architecture. Scenes are divided and deployed across multiple nodes (host, extension hosts, gateways) rather than concentrating all scenes on a single host. This segmentation reduces the load on any single node, preventing performance bottlenecks and system crashes while maintaining comprehensive scene control functionality across the distributed system.
2Ease of operation
If all scenes are deployed on a single host, then deployment simplicity is maintained, but response speed decreases due to load
Solution Approach 1:
The system segments scene deployment across multiple nodes including hosts, extension hosts, and gateways. Each node independently manages a subset of scenes, enabling parallel scene execution and reducing response time. The segmentation maintains operational simplicity through automated scene distribution and management protocols that handle the complexity of multi-node coordination transparently.
Solution Approach 2:
The patent transitions from a single-dimension (single host) deployment model to a multi-dimensional distributed deployment model. Scenes are distributed across multiple spatial dimensions (different nodes in the network) and functional dimensions (host, extension host, gateway). This dimensional expansion enables concurrent scene processing and improves response speed while maintaining deployment simplicity through automated distribution mechanisms.
3Reliability
If scenes are distributed across multiple nodes, then load balancing is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic load balancing mechanisms where scenes can be automatically migrated or redistributed across nodes based on real-time load conditions. The system dynamically adjusts scene deployment to optimize load distribution, with nodes capable of accepting or releasing scenes based on their current capacity. This dynamic approach maintains reliable load balancing while reducing architectural complexity through adaptive, self-regulating behavior.
Solution Approach 2:
The distributed node system incorporates self-service capabilities where nodes autonomously manage their own load and scene deployment decisions. Each node can independently evaluate its capacity and make decisions about accepting or rejecting new scenes, reducing the need for complex centralized management. This self-service approach simplifies the overall architecture by distributing decision-making authority while maintaining effective load balancing.
Data Source
AI summary
Example smart home scene deployment methods and systems are described. One example method includes obtaining a target scene and architecture information of a smart home network. The target scene is deployed on a target node based on the architecture information of the smart home network. The target node includes a first node and a second node, the first node is a host in the smart home network, and the second node includes at least one of an extension host or a gateway in the smart home network.